Product Manager-B2C

JOB DESCRIPTION

Experience: 3-8 years

Wissen Technology is now hiring for a Java Developer - Mumbai with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 3-8 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Qualifications Required:

Education: Relevant degree in software engineering fields; training in principles and techniques of software development.

Experience: 1-5 years of relevant software architecture, software development and software testing experience.

Skills:

• Strong technical skills in .Net, C#, VB, SQL Server 2008, Oracle, AJAX, Web Services. Strong English reading and writing communication skills, with an ability to express and understand complex technical concepts. Strong analytical, problem-solving, and conceptual skills. Ability to work in teams and has strong interpersonal skills. Ability to work under pressure and meet tight deadlines. Ability to deal with clients and travel to project sites. Possess good organizational skills. Demonstrated ability to lead a moderate group of software engineers and also able to work independently. Ability to anticipate potential problems, determine and implement solutions.

Responsibilities: Responsible for software development activities throughout the project, including key phases of process such as development, testing, implementation.

Other: Be familiar with systems concepts design and standards. Good awareness and practical approach of standard SDLC and be quickly able to understand adhere to coding standard followed by Ember Technologies Pvt. Ltd.

We are looking for talented WordPress developers with a minimum of 2 to 4 years of experience.

Requirements Qualifications

Experience in custom WordPress website development and Plugin development.

Experience in WordPress Theme development (PSD to WordPress conversion, HTML to WordPress conversion)

Strong knowledge in PHP and PHP based frameworks

Experience in PHP based CMS like Drupal, Joomla, Shopify is added advantage

Knowledge in Angular JS, React JS, Node JS is added advantage.

Immediate joiners

Role: Functions Developer (Embedded c - Algorithm / Driving Functions Development)

Location: Hyderabad

Duration:Fulltime
Job Description:

• Design and development of automotive feature/function software/components (ACC, AEB, TSR, LKA etc.) for ADAS/AD systems
• Coordination and regular interaction with different stakeholders and teams like testing, requirements, leads etc.
• Participate in SW requirement generation, SW architecture, detailed design etc.

Requirement:

• 3-7 years of experience in development of Algorithm & Functions for advance driver assist systems (ADAS), Autonomous driving (AD)
• Development experience with safety critical systems
• Experienced in development using MATLAB Simulink, TargetLink, Stateflow
• Experience in modelling and validation of control systems
• Knowledge of SIL, Performance Test, Functional testing
• Embedded software development using C, C++
• Issue management and version control
• Knowledge of ASPICE processes, Static analysis, MISRA checks etc.
• Strong written and verbal communication skills
• Proactive approach for problem solving

Good to have:

• Knowledge of ADAS/AD functions (ACC, TSR, AEB, LCA etc), Data Analysis
• Experienced in managing and authoring of function specification requirements
• Familiarity with AUTOSAR RTE

Nice to have:

• AUTOSAR, Functional Safety (ISO26262) exposure
• Scripting Knowledge - Python, MATLAB
• Working knowledge of automotive protocols like CAN, Ethernet etc.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning